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Salary: USD 137,010 - 158,025 / annual
Match Group is seeking a Financial Analyst specializing in Data Science & Automation to lead financial analysis and reporting initiatives for their Technology organization. This hybrid role, based in Dallas, combines traditional financial analysis with advanced data science and automation expertise.
Key Responsibilities:
- Perform comprehensive analysis of Technology operating expenses (OPEX), including budgeting, forecasting, variance analysis, and vendor spend evaluation to support strategic financial planning.
- Analyze and reconcile technology-related expenditures during monthly close processes, validate results in financial planning systems, and ensure accuracy and timeliness of financial reporting.
- Develop and automate financial and operational analysis workflows using advanced analytical and automation tools to improve efficiency, scalability, and consistency.
- Consolidate and standardize financial reporting across multiple functional areas, optimizing data structures and planning system integrations for enterprise-level visibility.
- Design and maintain automated financial reports, dashboards, and executive presentation materials using cloud-based tools to provide real-time insight into financial performance and cost drivers.
- Partner with Accounting, Finance, and cross-functional stakeholders to align financial data, resolve discrepancies, and ensure accuracy and strong internal controls.
- Architect and implement predictive financial models using statistical and machine learning techniques to forecast technology spending trends and optimize cost allocation strategies.
- Maintain design and governance of enterprise-level data pipelines and financial data architecture, integrating structured and unstructured data sources into scalable analytics environments.
- Assess and deploy emerging data science and automation technologies (including AI/ML tools and cloud-based analytics platforms) to transform financial analysis processes and establish best practices.
Requirements:
- Bachelor's degree in Finance, Data Science, Quantitative Management, or related field, plus 5 years of experience as a Financial Analyst or in data science, corporate finance, or FP&A; OR Master's degree in related field plus 3 years of relevant experience.
- 3 years of professional experience integrating, reconciling, and analyzing data from multiple enterprise systems to improve forecasting and reporting consistency.
- 2 years of professional experience using advanced analytical, machine-learning, and automation tools, including Python, SQL, PyTorch/ML, Google Apps Script, Excel VBA macros, and RShiny.
- 2 years of professional experience developing financial reports, dashboards, and visualizations using enterprise tools including advanced Excel, Google Workspace, Workday, OneStream, and AWS QuickSight.
- 2 years of professional experience managing, reconciling, and forecasting multi-million-dollar Technology OPEX budgets.
- 2 years of professional experience improving financial or operational processes through automation and workflow consolidation.
- 2 years of professional experience applying advanced analytics techniques, including statistical analysis or machine-learning methods, to support forecasting and leadership decision-making.
- 2 years of professional experience automating manual workflows and delivering measurable efficiency improvements.
